Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 2.0 Flash Thinking

DEPRECATED

Google AI Studio

This model is no longer active/free — kept for reference.

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

DEPRECATED

Venice.ai

This model is no longer active/free — kept for reference.

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Gemini 2.0 Flash Thinking Wins

With an intelligence score of 94/100 vs 91/100, Gemini 2.0 Flash Thinking outperforms Llama 3.1 405B by 3 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 2.0 Flash Thinking
Llama 3.1 405B
Context Window
1M Context, 10 RPM 128K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~85-87%
Release Date
Dec 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
5-30 RPM (varies by model) 10 RPM (free tier)
Daily Limit
Varies by model (Flash / Flash-Lite only; Pro models are paid) Limited daily usage
Capabilities
Thinking Reasoning
Reasoning
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 405B
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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